fable-workflow-skill
Surface unknowns and assumptions before an AI agent starts building.
Surface unknowns and assumptions before an AI agent starts building.
Fable Workflow teaches coding agents to inspect the real codebase and expose unspecified decisions before implementation instead of guessing silently. During the work it records assumptions and deviations, then asks for verification evidence before declaring completion. The Claude Code plugin adds advisory hooks and an optional strict stop gate, though its heuristics can occasionally misfire.
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Turn detailed business processes into reusable, tested AI skills.
Define portable task-specific sub-agents in Markdown for several coding assistants.
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Public GitHub facts last synced Jul 10, 2026.
Find, create, run, and improve agent skills from real execution feedback.
Reduce LLM token use by pruning context, caching prompts, and routing models.